Articles tagged with Biological Models
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
A research team used game theory to analyze cooperation in networks and found that networks with a high level of cooperation can emerge if individuals take a clear-cut position against free riders. The study also showed that if contributors leave an environment too quickly, it leads to a lower level of cooperation.
A new mathematical framework predicts the most effective combinations of drugs to treat postmenopausal bone loss in patients. The model identifies optimal orderings that boost bone density and reduce long-term bone loss, improving treatment outcomes.
Two OU research groups received nearly $2 million in funding to develop new surveillance methods and predict the next avian influenza pandemic. The projects focus on integrating data from multiple sources to detect early signals of disease spread.
Researchers developed a mathematical model to predict the efficiency of nanoparticle delivery into cells, particularly in stem cells. They found that nanoparticles become trapped in bubble-like vesicles, preventing them from reaching their targets.
Researchers at the University of Illinois Urbana-Champaign have developed a low-cost ultrasound imaging method to study the relationship between Alzheimer's disease and the brain's vascular system. The technique, which provides high-resolution images of animal microvasculature, may aid in early detection of the disease.
Hawks use a unique flight path to slow down to a safe speed while minimizing the distance from the perch at which they stall. This allows them to control their landings effectively, even when slowing down risks stall, leading to sudden loss of flight control.
A recent study out of the Complexity Science Hub Vienna developed a mathematical and computational framework for analysing neural activity in C. elegans, a tiny worm used to study neural activity. The study proposes a way to unmask the roles of neurons by using more natural perturbations.
Researchers at University of Missouri, Georgia Tech and Harvard University have successfully demonstrated a new Type 1 diabetes treatment in large animal models. By transplanting pancreatic islet cells with a molecule called FasL, they prevent rogue immune cells from destroying the transplanted cells.
A team of researchers used a CRISPR-based approach to study the evolution of lung cancer cells, tracking their history from the first activation of cancer-causing mutations. The study revealed significant diversity between subpopulations of cells within the same tumor, with certain groups becoming more fit and aggressive over time.
Researchers used Frontera supercomputer to model coronavirus-receptor interactions, discovering a 'one-two punch' combo that primes virus for fusion. The study provides new understanding of the mechanism behind increased virulence of variants such as delta and omicron.
Researchers at DTU Compute and DIKU have developed a machine learning model that can map the potential of proteins, enabling the biotech industry to accelerate the development of new proteins. The model generates a picture of how proteins are linked, allowing for the identification of closely related proteins with desirable properties.
Scientists have developed Community Distribution Models (CDMs) to predict upland vegetation communities from published data at a national scale. The approach uses publicly available and open-access NVC records and environmental data, with models based on random forests being the most accurate.
A team of researchers developed a novel chip-based infection model to study invasive aspergillosis, a mold infection that affects the lungs. The model allows for live microscopic observation of damage caused by fungal hyphae and the response of immune cells.
Researchers at Stevens Institute of Technology are pushing through technical barriers in organ printing by leveraging decades-old technique and computational modeling. The team aims to create any type of organ at any time, including skin on an open wound, using microfluidic bio-printing.
A new study used a virtual population to simulate a clinical trial examining kidney damage in Black Americans. The model predicted kidney damage and showed that adding drug therapy and reducing salt intake could stop the damage, improving heart sizes as well.
Researchers at the University of Maine used zebrafish to test the effectiveness of neuromuscular electrical stimulation (NMES) on muscle strength and structure. The study found that only one NMES regimen, endurance neuromuscular stimulation (eNMES), improved muscle health when combined with an antioxidant and a specific receptor.
Autophagy is induced when ER-bound ribosomes are stalled, rescuing them from cellular harm. The ERC grant aims to decipher the role of Autophagy in rescuing stalled ER-bound ribosomes.
A recent study found that large US firms have lower product diversity, with companies manufacturing similar products becoming more common. This decrease in product diversity could be due to various factors such as narrowing consumer demand and data biases in the analysis.
Researchers from the University of Illinois have revamped the popular crop growth simulation software BioCro, allowing modelers to use the technology more easily. The updated version includes faster and more accurate algorithms, enabling researchers to try new simulations more easily and link to other models.
Researchers studied microorganisms, including TB bacteria, to understand how genetic mutations drive adaptation and resistance. They found that certain types of mutations are more common than others, and this imbalance can help scientists predict which mutations will lead to drug resistance.
Researchers have developed a machine learning framework called dynamo that can predict a cell's path over time, including its fate and genetic changes. The tool uses data from individual cells to create mathematical equations describing the cell's trajectory.
Researchers created a computer model that simulates the way slime moulds construct their network, finding networks with improved travel time or resilience to disruption. The models were validated using three key metrics and showed good correlation with actual slime mould results.
Scientists at the University of Missouri discovered that bisphenol A (BPA) exposure during pregnancy can negatively impact fetal brain development. MicroRNAs in the placenta play a key role in regulating cellular functions, including neural development. Researchers believe that microRNA packages could reach the brain through the placen...
The European Research Council has awarded Kai Kretzschmar a Starting Grant to systematically characterise oral epithelial stem cells. This will help decipher the mechanisms underlying the diversity of the oral epithelium and its contribution to oral squamous cell carcinomas.
A new study published in PLOS Computational Biology found that the order of COVID-19 symptoms varies depending on the SARS-CoV-2 variant. In the USA, cough was most likely to be the first symptom, while fever and diarrhea were more common third symptoms.
Researchers found that theropods strengthened their jaws through time, with expanding rear jaw portions and evolving different jaw shapes depending on diet. This allowed them to exploit a wider range of food items and minimized bone fracture risk.
Researchers at the University of Ottawa have made a breakthrough in reversing memory deficits and slowing disease progression in female mouse models of Alzheimer's disease. The study found that activating a specific receptor was effective in treating females, who make up two-thirds of diagnosed cases.
Researchers created novel frog models to replicate polycystic kidney disease, allowing for real-time observation of disease processes. AI analysis enabled rapid assessment of disease in the tiny animals.
Damaged coral reefs exhibit a two-phase recovery pattern, with the first phase lasting up to six years, and the second phase being faster. This pattern was observed in 60% of severely disturbed reefs on the Great Barrier Reef.
A new algorithm has been developed to train spiking neural networks, mimicking the human brain's structure and function. This approach enables these powerful, fast, and energy-efficient systems to solve complex tasks like image classification with high precision.
Researchers have found four commonly used medications that can reverse Alzheimer's disease in mice by addressing the underlying causes of the condition. The study identifies non-steroidal anti-inflammatories and anti-hypertensives as effective treatments, paving the way for early diagnosis and potential therapy.
Researchers developed a mathematical model to predict the spread of COVID-19, taking into account restrictions and containment policies. The model successfully calculated the total number of infected and peak infection days in the 2014-2015 Ebola virus epidemic.
Researchers used machine learning on UK Biobank data to create proxy measures for brain age, intelligence, and neuroticism traits. These indirect measurements strongly correlate with specific diseases or outcomes, offering a potential solution for mental health diagnoses.
The BiCIKL project links biodiversity data types and classes across 14 European institutions, creating a Biodiversity Knowledge Hub for seamless access. This initiative streamlines Open Science and FAIR practices, empowering researchers with efficient tools to explore and utilize biodiversity data.
A new study found that local mobility, primary care access, and limited contacts in contagion hubs can curb COVID-19 deaths. The researchers used novel statistical approaches to analyze mortality curves across 20 Italian regions, identifying a strong association between mobility and COVID mortality.
A new study from Washington University in St. Louis shows that guided by sparsity, silicon neurons learn to pick the most energy-efficient perturbations and wave patterns, enabling an emergent phenomenon of efficient communication between neurons. This research has significant implications for designing neuromorphic AI systems.
Researchers found that mice can make fine visual discriminations between slightly different lines, suggesting a more complex decision-making process than previously thought. The study's findings highlight the importance of considering non-perceptual biases in understanding animal behavior and decision-making strategies.
Researchers propose using patient-specific digital twins to model viral infections, integrating human physiology, immunology, and real-time clinical data. Medical digital twins could aid in optimizing treatments for individual COVID-19 patients, combining mechanistic knowledge with observational data and artificial intelligence.
New research from Cold Spring Harbor Laboratory highlights the importance of model evaluation in neuroscience. By building and comparing several models of neural signaling, researchers found that good predictive power does not necessarily indicate a model's representation of real neural networks.
A new study predicts a 36% global increase in invasive insect species by 2050, with Europe and Asia experiencing the strongest invasions. This research provides a baseline for assessing future biological invasions, enabling proactive measures to contain their spread.
A new model of breast cancer's causes, called Paradigm II, illustrates the dynamic and sometimes unexpected interactions between biological, behavioral, social, and physical domains. The model, created by a multidisciplinary team, includes 96 potential interactions and is available online for further research and discussion.
Researchers developed two experimental devices to study the harmful effects of hyperperistalsis on synthetic uterine tissue. The study found that peristaltic shear stresses caused alterations to endometrial epithelial cells and myometrial smooth muscle cells.
Nowzari's research uses network systems expertise to model how people's movement affects virus spread, providing a more nuanced approach than existing lumped population models. His goal is to help inform policy and business decisions by highlighting the impact of networking effects.
Neuroscientists at York University developed five predictive models using non-motor clinical and biological variables to detect early-stage Parkinson's disease. The models achieved over 80% accuracy in distinguishing early-stage Parkinson's from healthy controls, offering a potential alternative to traditional diagnosis methods.
A new study suggests that life in the universe is likely to be common, but only under specific conditions. The research, led by Professor Tomonori Totani, found that complex RNA structures necessary for life to exist may have formed spontaneously in vast regions of space beyond our observable horizon.
Joyce Tait discusses re-engineering biological components through computational modelling and bio-systems design technologies. She emphasizes the need for an equitable balance between promoting innovation and ensuring safety in synthetic biology.
A new computational model shows that regular crop rotations switching every other year may not be optimal for maximizing crop yield when threatened by plant pathogens. The analysis identified patterns of crop rotation that maintain soil quality and diminish pathogen load, suggesting a more sustainable approach to agriculture.
A new mathematical model predicts the presence of undetectable metastases based on primary tumor size, which is associated with a poorer prognosis. The model accurately reflects clinical study data for several cancer types, highlighting the potential dangers of delays in surgery for smaller tumors.
A team of scientists predicts that emperor penguin colonies will decline drastically due to global warming, with 5-6°C temperature increase leading to near-total collapse. Climate models show that sea ice melting will deprive the birds of habitat and food sources, threatening their survival.
A University of Pittsburgh professor is developing an artificial intelligence database to identify bird calls and support conservation efforts. The project, funded by a $91,208 grant, will create free, open-source models for researchers, agencies, and citizen scientists to analyze acoustic field recordings.
Researchers argue that observed patterns in evolution arise from statistical fluctuations rather than underlying causes. This 'push of the past' bias affects many areas of life and can lead to misleading conclusions if not recognized.
A new model simulates the metabolic effects of exercise on an individual level, accounting for factors such as age, weight, and exercise type. This allows for better understanding of how exercise prevents diseases and improves health outcomes.
Vanderbilt researchers are developing a new surgical planning tool to improve voice outcomes for patients with unilateral vocal fold paralysis. By analyzing the aerodynamics of cicada wings, they aim to create customized implants that optimize voice production and breathing.
A study investigated tau phosphorylation-related targets for Alzheimer's disease treatment, focusing on four kinases and one phosphatase. The model suggests the role of each enzyme in AD pathogenesis and identifies potential targets for therapy. This work builds upon InSysBio's quantitative systems pharmacology (QSP) modeling approach.
Don Ingber and Charles Reilly created a film that accurately depicts the fertilization of an egg by a sperm, revealing new insights into molecular-scale processes. The film's animation pipeline integrated physics-based software with molecular dynamics simulation to create a model that worked across all size scales.
Researchers found that environmental disturbances can cause sudden population collapses, making extinction easier even for large populations. This has implications for predicting and controlling viral epidemics.
A new survey investigates ideal qualities of microfluidics-based 3D cell culture systems, finding a positive attitude among the biomedical community. However, a gap remains between desired and available features, including complexity, user-friendliness, physiological relevance, and controllability.
A Tel Aviv University study finds a unique biological model of arsenic detoxification in the Entotheonella bacterium, which inhabits Theonella swinhoei sponges. The bacterium accumulates and neutralizes toxic elements, transforming them into inert products within its cells.
Researchers at Kobe University have found a primitive pathway that resembles photosynthesis in Methanospirillum hungatei, a non-photosynthesizing microbe. The team used metabolome analysis to locate trapped CO2 and proved the microbe uses this pathway to synthesize glucose.
Researchers developed a mathematical model to investigate the impact of spatial structure on cooperation evolution. The study found that lattices can hinder cooperation, contrary to previous pairwise interaction-based theories.